4 papers · 1 filter
A Joint Bayesian Boolean Matrix Factorization with Application to Chromosomal Copy Number Alterations in Multiple Myeloma
Adolphus Wagala, Samur Mehmet, Giovanni Parmigiani
Boolean matrix factorization provides an interpretable framework for discovering latent binary patterns in high-dimensional data, yet existing methods typically analyze a single bi…
Poisson process factorization for modeling mutational processes along cancer genomes
Alessandro Zito, Giovanni Parmigiani, Jeffrey W. Miller
Cancer cells acquire DNA mutations through many processes, such as environmental exposures and dysregulated repair mechanisms, and each process consistently produces distinct mutat…
Causal Inference for Latent Outcomes Learned with Factor Models
Jenna M. Landy, Dafne Zorzetto, Roberta De Vito +1
In many fields$\unicode{x2013}$including genomics, epidemiology, natural language processing, social and behavioral sciences, and economics$\unicode{x2013}$it is increasingly impor…
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
Dafne Zorzetto, Jenna Landy, Corwin Zigler +2
The impact of wildfire smoke on air quality is a growing concern, contributing to air pollution through a complex mixture of chemical species with important implications for public…